Inspection System for Vehicle Headlight Defects Based on Convolutional Neural Network

This paper proposes a method to detect the defects in the region of interest (ROI) based on a convolutional neural network (CNN) after alignment (position and rotation calibration) of a manufacturer’s headlights to determine whether the vehicle headlights are defective. The results were compared wit...

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Bibliographic Details
Main Authors: Chang-Bae Moon, Jong-Yeol Lee, Dong-Seong Kim, Byeong-Man Kim
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/10/4402